Joint optimization of dynamic pricing and personalized recommendation for telecommunications value added services via multi agent reinforcement learning
- DOI
- 10.1038/s41598-026-49309-1
- Published
- 2026-04-28
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-49309-1,
title = {Joint optimization of dynamic pricing and personalized recommendation for telecommunications value added services via multi agent reinforcement learning},
author = {Zhengyuan Zou and Huaming Ling and Chenchen Zhang and Zewei Pan and Xiaoqing Wang and Jiayu Chen},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-49309-1},
url = {https://doi.org/10.1038/s41598-026-49309-1}
}RIS
TY - JOUR TI - Joint optimization of dynamic pricing and personalized recommendation for telecommunications value added services via multi agent reinforcement learning AU - Zhengyuan Zou AU - Huaming Ling AU - Chenchen Zhang AU - Zewei Pan AU - Xiaoqing Wang AU - Jiayu Chen PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-49309-1 UR - https://doi.org/10.1038/s41598-026-49309-1 ER -
APA
Zou, Z., Ling, H., Zhang, C., Pan, Z., Wang, X., & Chen, J. (2026). Joint optimization of dynamic pricing and personalized recommendation for telecommunications value added services via multi agent reinforcement learning. Scientific Reports. https://doi.org/10.1038/s41598-026-49309-1
Source records
- crossref · retrieved 2026-09-25T23:06:05.931Z